Reinforcement Learning with Pytorch (Udemy.com)

Learn to apply Reinforcement Learning and Artificial Intelligence algorithms using Python, Pytorch and OpenAI Gym

( 56 Reviews )

Created by: Atamai AI Team

Produced in 2021

What you will learn

Reinforcement Learning basics
Tabular methods
Bellman equation
Q Learning
Deep Reinforcement Learning
Learning from video input

Quality Score

Content Quality

Video Quality

Qualified Instructor

Course Pace

Course Depth & Coverage

Overall Score : 90 / 100

Course Description

UPDATE:
All the code and installation instructions have been updated and verified to work with Pytorch 1.
6 !!
Artificial Intelligenceis dynamicallyedging its wayinto our lives. It is alreadybroadly available andwe use it - sometimes evennot knowing it -on daily basis. Soon it will be our permanent, every daycompanion.
And wherecan we place ReinforcementLearning in AIworld? Definitelythis is one of the most promising and fastest growing technologies that can eventuallylead us to General Artificial Intelligence! We can see multiple examples where AIcan achieve amazing results - from reachingsuper human level whileplaying gamestosolvingreal life problems (robotics, healthcare, etc).
Without a doubtit's worth to knowand understandit!
And that's why this course has been created.
We will go through multiple topics, focusing on most important and practical details.
We will start from very basic information, graduallybuilding our understanding, and finallyreaching the point wherewe will make our agent learn in human-like way - only from video input!
What's important - of courseweneed to cover some theory - but we will mainly focus on practical part. Goal isto understand WHYand HOW.
In order to evaluate our algorithms we willuseenvironments from - very popular -OpenAIGym. We will start from basic text games, through more complex ones, up to challenging Atari gamesWhatwill be covered during the course ?- Introduction to Reinforcement Learning- Markov Decision Process- Deterministic and stochastic environments- Bellman Equation- Q Learning- Exploration vs Exploitation- Scaling up- Neural Networks as function approximators- Deep Reinforcement Learning- DQN- Improvements to DQN- Learning from video input- Reproducing some of most popular RL solutions- Tuning parameters and general recommendationsSee you in theclass!
Who this course is for:
Anyone interested in artificial intelligence, data science, machine learning, deep learning and reinforcement learning.

Time: 7h

Instructor Details

Atamai AI Team

4.5 Rating
56 Reviews

We are independent AIresearchers, working with Artificial Intelligence and Deep Learning projects on daily basis.We are absolutelypassionate about itandwe want to share this passion with you.
We're also experienced instructors (mainly doing in person trainings so far) and we simply love sharing our knowledge with others!
We're looking forward to see you in one of our courses!

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Reviews

4.5

56 total reviews

5 star 4 star 3 star 2 star 1 star

Write a Review

By Matei Bejan on 12/20/2020

I really like the step-by-step tutorial-style app and the fact that the speaker takes the time to introduce even basic things like torch.zeros or torch.rand.

By Cosme Alexis Anzaldo Navarrete on 9/23/2020

El sonido del vdeo esta muy bajo, incluso aunque el volumen de mi computadora esta al mximo. Adems, la diccin de la voz no es buena. Y hace pausas entre oraciones donde no debera haberlas

By Ilias Kazantzidis on 9/11/2020

good explanations and to the point. should include policy gradient

By Sandeep Betkerur on 9/2/2020

With a bit of prior theoretical knowledge, this course is an excellent step-by-step practical implementation!!!

By Shadab on 7/6/2020

Yes, I am a beginner and this course very helpful for starters. Style of the instructor is lucid and practical.

By Renan Dos Santos Fagundes on 6/11/2020

estou gostando, mas preciso ver at o final.

By Jeffrey Welsh on 6/7/2020

Yes, this instructor is moving at a good speed, and getting right to it.

By William Stewart on 5/5/2020

This course has been very helpful in understanding reinforcement learning and starting to learn PyTorch

By Evangelos Chatzidimitriou on 4/7/2020

Well, it would be nice to have a short introduction to building neurals with Pytorch. Otherwise, the instructor is very explanatory. Good course overall, highly recommended!

By Jos Carlos Baquero on 4/4/2020

the examples are explained step by step and taking the last example to make the next one. Very recommended!

By Naya Baslan on 2/25/2020

Difficult concepts are very simply explained and easy to understand!
Thank you

By Carles Mateu on 2/21/2020

This guy doesn't even set the slides at full screen!!! They are presented with the slide browser, menu, mac os/x dock, etc. at less than 50% of the screen.
Totally dissappointed...